第二阶段 - HazPrep 工人培训 - 社区风险概况 - COVID-19 快速响应-猫眼课题宝

第二阶段 - HazPrep 工人培训 - 社区风险概况 - COVID-19 快速响应

批准号：

10157843

负责人：

Henry Ryng

金额：

$8.6万

依托单位：

INXSOL, LLC

依托单位国家：

美国

项目类别：

财政年份：

2017

资助国家：

美国

项目状态：

已结题

起止时间：

2017-06-01 至 2021-05-31

来源：

https://reporter.nih.gov/project-details/10157843

关键词：

Academy Achievement Algorithms Assessment tool Awareness Big Data COVID-19 COVID-19 pandemic Case Study Communities Community of Practice Consultations Containment Credentialing Data Effectiveness Emergency response Employee Event Excision Exercise Family Feasibility Studies Feedback Feeds Formulation Frequencies Generations Hazardous Substances Health Health Sciences Individual Industry Infection prevention Ingestion Knowledge Libraries Location Machine Learning Maintenance Metadata Modeling Occupations Performance Phase Plants Prevention Privatization Process Production Readiness Recording of previous events Resources Risk S Phase Safety Site Source Structure Surveys System Taxonomy Techniques Technology Testing Texas Time Training Transportation Universities Work application programming interface commercialization crowdsourcing dashboard data archive design e-commerce experience feeding flexibility hazard innovation learning strategy machine learning algorithm pandemic disease personalized learning prototype repaired response skills social learning sound tool virtual wasting web site

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中文摘要

翻译

项目摘要/摘要新冠肺炎对危险准备第二阶段的补充。原始摘要：工人的个人危险描述是存在危险的作用以及他/她暴露在这些危险中的程度。风险水平较高的工人那些可以从事与危险材料、废物有关的活动或在其周围工作的人发电、拆除、遏制、运输和应急响应。InXsol的第一阶段可行性研究验证了新型众包社交学习平台的号召力和有效性。我们的方法使用云技术可创建高度个性化的动态增长的事件/情景库 (职业/任务/地理)风险概况，并生成学习活动，以培训风险意识和缓解风险技巧。第二阶段的提议包括实施大数据算法的创新使用社区配置文件和与PHP的融合，支持完成危险准备的有针对性和个性化的培训我们的Beta测试团队在第一阶段开发并测试了原型。

英文摘要

PROJECT SUMMARY/ABSTRACT COVID-19 Supplement to HazPrep Phase II. Original Summary: A worker's personal hazard profile (PHP) is a function of hazards present and his/her exposure level to those hazards. Workers with an elevated level of risk are those who can be engaged in activities related to - or working around - hazardous materials, waste generation, removal, containment, transportation, and emergency response. inXsol’s Phase I feasibility study verified the appeal and effectiveness of a new form of crowdsourced social learning platform. Our approach using cloud technology creates a dynamically growing library of incidents/scenarios, highly personalized (occupation/task/geo) risk profile and generates learning activities to train on risk awareness and mitigation techniques. The Phase II proposal includes implementation of an innovative use of big data algorithms for community profiles and fusion with PHP allowing for targeted and personalized training completing the HazPrep prototype developed and exercised by our beta test team in Phase I.

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